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| 1 | An empirical study of the reliability of UNIX utilities显示文摘 | Barton P. Miller Louis Fredriksen Bryan So | 1990 | Communications of the ACM1990，，12： | 1 |
| 2 | Regulation of germ cell and Sertoli cell development by activin, follistatin, and FSH显示文摘 | Meehan T Schlatt SO Bryan MK | 2000 | Dev Biol2000，220，2： | 1 |
| 3 | Regulation of germ cell and Sertoli cell development by activin, follistatin, and FSH 显示文摘 | Meehan T Schlatt SO Bryan MK | 2000 | DevBiol2000，220，2： | 1 |
| 4 | An empirical study of the reliability of UNIX utilities显示文摘 | Miller Barton Fredriksen Louis So Bryan | 1990 | Communica- tions of Association for Computing Machinery1990，33，12： | 1 |
| 5 | An empirical study of the reliability of unix utilities 显示文摘 | Miller Barton P Fredriksen Louis So Bryan | 1990 | Communications of the ACM1990，33，12： | 1 |
| 6 | An empirical study of the reliability of UNIX utilities显示文摘 | Barton P Miller Louis Fredriksen Bryan So | 1990 | ACM Commun1990，33，12： | 1 |
| 7 | Regulation of germ cell and Sertoli cell development by activin, follistatin, and FSH 显示文摘 | Meehan T Schlatt SO Bryan MK | 2000 | DevBiol2000，220，2： | 1 |
| 8 | Corrigendum to‘Dual ultra-wideband(UWB)radar-based sleep posture recognition system:Towards ubiquitous sleep monitoring’[Engineered Regeneration 4(2023)36-43]显示文摘The authors regret that the name of the ethic committee that approved the study and the reference number was omitted from the published paper.In this research,all participants signed an informed consent after receiving an oral and written description of the experiment before the start of the experiment.The study was approved by the Human Subjects Ethics HSEARS20210127007. | Derek Ka-Hei Lai Li-Wen Zha Tommy Yau-Nam Leung Andy Yiu-Chau Tam Bryan Pak-Hei So Hyo Jung Lim Daphne Sze Ki Cheung Duo Wai-Chi Wong James Chung-Wai Cheung | 2023 | Engineered Regeneration2023，4，2： | 0 |
| 9 | Dual ultra-wideband(UWB)radar-based sleep posture recognition system:Towards ubiquitous sleep monitoring显示文摘Sleep posture monitoring is an essential assessment for obstructive sleep apnea(OSA)patients.The objective of this study is to develop a machine learning-based sleep posture recognition system using a dual ultra-wideband radar system.We collected radiofrequency data from two radars positioned over and at the side of the bed for 16 patients performing four sleep postures(supine,left and right lateral,and prone).We proposed and evaluated deep learning approaches that streamlined feature extraction and classification,and the traditional machine learning approaches that involved different combinations of feature extractors and classifiers.Our results showed that the dual radar system performed better than either single radar.Predetermined statistical features with random forest classifier yielded the best accuracy(0.887),which could be further improved via an ablation study(0.938).Deep learning approach using transformer yielded accuracy of 0.713. | Derek Ka-Hei Lai Li-Wen Zha Tommy Yau-Nam Leung Andy Yiu-Chau Tam Bryan Pak-Hei So Hyo-Jung Lim Daphne Sze Ki Cheung Duo Wai-Chi Wong James Chung-Wai Cheung | 2023 | Engineered Regeneration2023，4，1： | 0 |
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